AI Platform Engineer

This is a fully remote position, open to applicants in Colombia.

📋 Description

• Design, develop, and manage secure, scalable cloud platforms.

• Collaborate within cross-functional product teams consisting of developers, DevOps engineers, security experts, and product managers.

• Create and implement cloud infrastructure for development, staging, and production environments.

• Deploy, manage, and secure AI infrastructure, including LLM serving, vector databases, and agentic systems.

• Safely integrate AI-assisted development tools into platforms.

• Provide guidance on AI deployment methodologies and operational best practices.

• Construct and sustain deployment pipelines, CI/CD automation, and infrastructure-as-code.

• Execute observability systems, comprising metrics, logging, and tracing.

• Oversee cloud infrastructure provisioning, configuration, security, reliability, cost management, and compliance.

• Monitor and enhance cloud resources for both cost-effectiveness and performance.

• Diagnose platform issues, engage in incident response, and promote improvements.

• Create runbooks, architectural documentation, and troubleshooting manuals.

• Evaluate infrastructure modifications and contribute to architectural standards.

• Optimize systems for latency, throughput, and resource efficiency.

• Collaborate with security, product, development, DevOps, and other teams.

• Document solutions, share insights, pair program, and engage in code and architecture reviews.

⛳️ Requirements

• 3–8 years of practical experience in platform, infrastructure, DevOps, or cloud engineering.

• Familiarity with LLM APIs, vector databases, or AI model serving.

• Experience with AI-assisted development tools (e.g., GitHub Copilot, Claude, Cursor).

• Knowledge of AI security concerns: prompt injection, data governance, model monitoring, and output validation.

• Strong expertise in supporting and building on one cloud platform (AWS, Azure, GCP).

• Extensive experience with infrastructure-as-code tools (Terraform, CloudFormation, Pulumi, etc.).

• Solid understanding of Kubernetes, Docker, and CI/CD pipeline design.

• Practical experience in deployment automation, observability, and incident response.

• Capability to troubleshoot distributed systems and production issues; comfortable with on-call duties.

• Effective communication skills; able to articulate technical trade-offs to both technical and non-technical audiences.

• Proficiency in scripting languages (Python, Bash, Go) and basic Linux/Unix administration.

• Familiarity with version control (Git), collaboration workflows, and infrastructure automation.

• Availability for regular working sessions and exploratory workshops with client teams.

• Daily overlap with client business hours is anticipated.

• Reliable high-speed internet connection.

• Ability to work autonomously while collaborating with clients and Modus leadership.

🏝️ Benefits

• Fully remote work opportunity.

• Collaborative and innovative work environment.

• Opportunities to provide insights on platform strategy and direction to leadership.

• Possibilities to enhance technical expertise and assume greater technical responsibilities.

• Global team collaboration.

• Engage with modern cloud platforms, Kubernetes, infrastructure-as-code, and observability tools.

• Direct influence on platform reliability, developer velocity, and engineering efficiency.